Understanding MongoDB Indexes: Beginner-Level Quiz

MongoDB Indexes Quiz

Welcome to the MongoDB Indexes Quiz! This quiz will test your knowledge of one of MongoDB's most critical aspects: indexing. Indexes are vital in optimizing query performance, ensuring efficient data retrieval, and enabling specialized operations like geospatial queries and text searches. Mastering how MongoDB handles indexes is essential for anyone working with large datasets and performance-sensitive applications.

1 / 20

What is the purpose of a compound index in MongoDB?

To index multiple fields together for more complex queries

To ensure uniqueness across all documents

To index a single field with multiple values

To create separate indexes for each field in the collection

2 / 20

The ______ index is unique and prevents clients from inserting two documents with the same value for the _id field.

_def

_id

$default

None of the mentioned

3 / 20

Which of the following is a valid use case for a hashed index in MongoDB?

Distributing documents evenly across shards in a sharded cluster

Performing text searches

Sorting query results

Optimizing read performance on multikey fields

4 / 20

To support ________ based sharding, MongoDB provides a hashed index type.

root

primary

hash

all of the mentioned

5 / 20

MongoDB provides a ________ index type that supports searching for string content in a collection.

text

string

char

none of the mentioned

6 / 20

MongoDB indexes use a _______ data structure.

Map

Hash

B-tree

All of the mentioned

7 / 20

What is the primary purpose of indexes in MongoDB?

To enhance query performance

To replicate data between nodes

To improve data durability

To store data in a compressed format

8 / 20

________ index type, which indexes the hash of the value of a field.

Multikey

Hashed

Unique

None of the mentioned

9 / 20

What happens if you attempt to insert a duplicate value into a field with a unique index?

MongoDB will throw a duplicate key error

MongoDB will allow the insert without any issues

MongoDB will accept the value but remove the existing document

The new value will overwrite the old one

10 / 20

What is the default behavior if no indexes are defined on a collection?

MongoDB performs a full collection scan

MongoDB throws an error during query execution

MongoDB automatically creates an index

The query is denied

11 / 20

What type of index is automatically created on the _id field of every MongoDB collection?

Text Index

Compound Index

Multikey Index

Single Field Index

12 / 20

_____ indexes uses planar geometry when returning results.

All of the mentioned

13 / 20

How does MongoDB handle index creation for very large datasets?

Indexes are created only during off-peak hours automatically

Index creation fails for datasets larger than 10GB

MongoDB requires a full database lock during index creation

MongoDB creates indexes in the background to avoid blocking operations

14 / 20

Which index type would you use to perform geospatial queries in MongoDB?

GeoJSON Index

Spatial Index

2dsphere Index

3d Index

15 / 20

Which index type is used when a field in the collection contains an array of values?

Unique Index

Text Index

Compound Index

Multikey Index

16 / 20

MongoDB uses ______ indexes to index the content stored in arrays.

singlekey

compkey

multikey

none of the mentioned

17 / 20

Which of the following statements is correct?

Certain restrictions apply to indexes, such as the length of the index keys or the number of indexes per collection

For queries that specify compound query conditions, if one index can fulfill a part of a query condition, and another index can fulfill another part of the query condition, then MongoDB can use the intersection of the two indexes to fulfill the query

Whether the use of a compound index or the use of an index intersection is more efficient depends on the particular query and the system

None of the above

18 / 20

How can you list all the indexes on a MongoDB collection?

db.collection.showIndexes()

db.collection.findIndexes()

db.collection.getIndexes()

db.collection.listIndexes()

19 / 20

What is the impact of creating too many indexes in MongoDB?

It improves both read and write performance

It disables query caching

It increases storage requirements and slows down write operations

It reduces the size of the data stored

20 / 20

___________ indexes use spherical geometry to return results.

1dsphere

2dsphere

3dsphere

none of the mentioned

Your score is

The average score is 0%

MongoDB Indexes focuses on optimizing query performance in MongoDB by creating indexes on fields in a collection. It also explains how indexes speed up data retrieval by reducing the number of documents MongoDB needs to scan.

This quiz is designed for users who are familiar with basic MongoDB operations and want to enhance their knowledge of query optimization.

Best of luck!